000			02964cam a2200385 i 4500
001			on1102325935
003			OCoLC
005			20240726104033.0
008			191229s2020 nyuaf b 001 0 eng
010			_a2019036724
020			_a9780525559887
020			_a9780525559894
040			_aLBSOR/DLC _beng _erda _cDLC _dOCLCO _dIEB _dTCH _dDGU _dOCLCF _dVP@
041	1		_aeng _hfre
042			_apcc
049			_aSBIM
050	0	4	_aBF318 _b.H699 2020
050	0	4	_aBF318
100	1		_aDehaene, Stanislas, _e1 _0http://id.loc.gov/authorities/names/n93007066
245	1	0	_aHow we learn : _bwhy brains learn better than any machine ... for now / _cStanislas Dehaene.
250			_aFirst American edition.
260			_aNew York, New York : _bViking, _c(c)2020.
300			_axxviii, 319 pages, 16 unnumbered pages of plates : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_aBased in part on: Apprendre! : les talents du cerveau, le defi des machines.
504			_a1 (pages 269-305) and index.
505	0	0	_aSeven definitions of learning -- _tWhy our brain learns better than current machines -- _tBabies' invisible knowledge -- _tThe birth of a brain -- _tNurture's share -- _tRecycle your brain -- _tAttention -- _tActive engagement -- _tError feedback -- _tConsolidation -- _tConclusion. Reconciling education with neuroscience.
520	0		_a"In today's technological society, with an unprecedented amount of information at our fingertips, learning plays a more central role than ever. In How We Learn, Stanislas Dehaene decodes its biological mechanisms, delving into the neuronal, synaptic, and molecular processes taking place in the brain. He explains why youth is such a sensitive period, during which brain plasticity is maximal, but also assures us that our abilities continue into adulthood, and that we can enhance our learning and memory at any age. We can all 'learn to learn' by taking maximal advantage of the four pillars of the brain's learning algorithm: attention, active engagement, error feedback, and consolidation. The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. The exciting advancements in A.I. of the last twenty years reveal just as much about our remarkable abilities as they do about the potential of machines. How We Learn finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain's learning algorithms, in our schools and universities as well as in everyday life"-- _cProvided by publisher.
530			_a2
650		0	_aNeuroplasticity.
942			_cBK _hBF _m2020 _2lcc _01 _w14.49
999			_c53646 _d53646
902			_a1 _bCynthia Snell _c1 _dCynthia Snell